276 citations · 761 across the 10 of their papers we have counts for
11 papers
Revealing intra-urban spatial structure through an exploratory analysis by combining road network abstraction model and taxi trajectory data
Sheng Hu, Song Gao, Wei Luo +4
The unprecedented urbanization in China has dramatically changed the urban spatial structure of cities. With the proliferation of individual-level geospatial big data, previous stu…
Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic
Yuhao Kang, Song Gao, Yunlei Liang +3
Understanding dynamic human mobility changes and spatial interaction patterns at different geographic scales is crucial for assessing the impacts of non-pharmaceutical intervention…
Mapping county-level mobility pattern changes in the United States in response to COVID-19
Song Gao, Jinmeng Rao, Yuhao Kang +2
To contain the Coronavirus disease (COVID-19) pandemic, one of the non-pharmacological epidemic control measures in response to the COVID-19 outbreak is reducing the transmission r…
Mobile phone location data reveal the effect and geographic variation of social distancing on the spread of the COVID-19 epidemic
Song Gao, Jinmeng Rao, Yuhao Kang +7
The emergence of SARS-CoV-2 and the coronavirus infectious disease (COVID-19) has become a pandemic. Social (physical) distancing is a key non-pharmacologic control measure to redu…
Calibrating the dynamic Huff model for business analysis using location big data
Yunlei Liang, Song Gao, Yuxin Cai +2
The Huff model has been widely used in location-based business analysis for delineating a trading area containing potential customers to a store. Calibrating the Huff model and its…
Estimation of Regional Economic Development Indicator from Transportation Network Analytics
Bin Li, Song Gao, Yunlei Liang +4
With the booming economy in China, many researches have pointed out that the improvement of regional transportation infrastructure among other factors had an important effect on ec…
Transferring Multiscale Map Styles Using Generative Adversarial Networks
Yuhao Kang, Song Gao, Robert E. Roth
The advancement of the Artificial Intelligence (AI) technologies makes it possible to learn stylistic design criteria from existing maps or other visual art and transfer these styl…
Extracting human emotions at different places based on facial expressions and spatial clustering analysis
Yuhao Kang, Qingyuan Jia, Song Gao +6
The emergence of big data enables us to evaluate the various human emotions at places from a statistic perspective by applying affective computing. In this study, a novel framework…
A context-based geoprocessing framework for optimizing meetup location of multiple moving objects along road networks
Shaohua Wang, Song Gao, Xin Feng +2
Given different types of constraints on human life, people must make decisions that satisfy social activity needs. Minimizing costs (i.e., distance, time, or money) associated with…
Towards a Frontier of Spatial Scientometric Studies
Song Gao
The research field of spatial scientometrics is dedicated to measuring and analyzing science with spatial components (e.g., location, place, mapping). Because of the dynamic nature…
Constructing Gazetteers from Volunteered Big Geo-Data Based on Hadoop
Song Gao, Linna Li, Wenwen Li +2
Traditional gazetteers are built and maintained by authoritative mapping agencies. In the age of Big Data, it is possible to construct gazetteers in a data-driven approach by minin…